Meta(Meta Platforms)岗位:Technical Program Manager, Infrastructure Software Systems Responsibilities
Own technical program management for a core area of Meta's infrastructure software stack, spanning platform strategy, technical design, delivery, and partner adoption
Partner with Engineering and Product to define the multi-quarter roadmap: shaping feature plans, participating substantively in technical design and API/interface design reviews, and making tradeoff recommendations that leadership acts on
Drive platform adoption end to end — defining the onboarding path for partner teams, removing friction in integration, and holding the bar on the partner experience from first evaluation through steady-state production use
Translate the needs of demanding internal customer organizations into platform requirements, and broker the prioritization conversations required to land them
Define and instrument the metrics that determine whether the platform is succeeding — adoption, reliability, efficiency, and developer/agent effectiveness — and use them to drive decisions rather than to report status
Lead technical discussions and act as a thought leader in program and design reviews; be the cross-functional partner engineering leaders pull into their hardest problems
Identify and solve systemic problems that span organizational boundaries, and build the lightweight operational constructs that accelerate team momentum without adding overhead
Perform risk assessment, risk mitigation, and change management across a portfolio of concurrent technical programs
Articulate technical vision, requirements, goals, and milestones to stakeholders up to and including VP-level leadership
Provide hands-on program management through design, development, testing, rollout, and post-launch phases
Mentor and raise the bar for other technical program managers, and influence how TPM is practiced across the broader organization
Minimum Qualifications
B.S. in Computer Science or a related technical discipline, or equivalent experience
12+ years of experience in software engineering, systems engineering, or technical product/program management
Experience delivering technical platforms or infrastructure software programs from inception through production adoption
Experience leading large-scale, cross-functional programs with significant organizational impact
Experience driving strategic technical initiatives and influencing roadmaps across multiple engineering teams
Experience with platform or developer-facing software, including API and interface design, partner onboarding, and adoption of a platform by teams outside the one that builds it
Experience working with AI/ML or agentic systems, and translating their requirements into platform and infrastructure decisions
Experience with executive-level communication, including presenting to and influencing senior leadership
Experience navigating ambiguity and defining structure for complex, multi-quarter technical programs
Experience communicating and translating between non-technical and technical requirements and audiences
Experience mentoring and developing other technical program managers
Experience establishing working relationships across multi-disciplinary teams and partners in multiple time zones
Preferred Qualifications
Experience building or operating agent-facing platforms, tooling, or APIs, including agent orchestration and evaluation
Experience partnering with large internal customer organizations to migrate them onto a shared platform
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience defining and driving developer or platform effectiveness metrics
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience supporting AI/ML infrastructure — training, inference serving, or the software layers that sit on top of them
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses.
When Facebook launched in 2004, it changed the way people connect.
Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.
Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America:$199,000/year to $272,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.
In addition to base compensation, Meta offers benefits.
Learn more about benefits at Meta.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
You may view our Equal Employment Opportunity notice here.
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